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Reasoning in Singly-Connected Directed Evidential Networks with Conditional Beliefs

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Artificial Intelligence: Methods and Applications (SETN 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8445))

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Abstract

Directed evidential networks are powerful tools for knowledge representation and uncertain reasoning in a belief function framework. In this paper, we propose an algorithm for the propagation of belief functions in the singly-connected directed evidential networks, when each node is associated with one conditional belief function distribution specified given all its parents.

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References

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Author information

Authors and Affiliations

  1. LARODEC Laboratory - Institut Supérieur de Gestion de Tunis, Tunisia

    Wafa Laâmari & Boutheina Ben Yaghlane

Authors
  1. Wafa Laâmari
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  2. Boutheina Ben Yaghlane
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Ioannina, GR 45110, Ioannina, Greece

    Aristidis Likas

  2. Department of Computer Science, University of Ioannina, P.O. Box 1186, 45110, Ioannina, Greece

    Konstantinos Blekas

  3. Hellenic Open University, GR 26335, Peribola, Patras, Greece

    Dimitris Kalles

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© 2014 Springer International Publishing Switzerland

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Laâmari, W., Ben Yaghlane, B. (2014). Reasoning in Singly-Connected Directed Evidential Networks with Conditional Beliefs. In: Likas, A., Blekas, K., Kalles, D. (eds) Artificial Intelligence: Methods and Applications. SETN 2014. Lecture Notes in Computer Science(), vol 8445. Springer, Cham. https://doi.org/10.1007/978-3-319-07064-3_18

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  • DOI: https://doi.org/10.1007/978-3-319-07064-3_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07063-6

  • Online ISBN: 978-3-319-07064-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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